Philomena Ngila

I am a software engineering graduate with practical experience improving AI systems through annotation, evaluation, and transcription. I combine technical training with a certificate in Business Intelligence Analytics to approach data projects with both engineering rigor and analytical insight.

I have contributed to global AI projects at Outlier and Remotask, performing annotation, pairwise comparison, and linguistic evaluation to enhance model accuracy and cultural relevance. I focus on producing high-quality, culturally aware feedback that improves large language model outputs.

As a transcription specialist, I delivered accurate Swahili and English transcriptions for international clients, ensuring linguistic and cultural fidelity under tight deadlines. I also provided technical support and data management at Jomo Kenyatta International Airport, aiding HR and cross-functional teams in adopting digital workflows.

I am multilingual (Swahili and English), comfortable with remote collaboration, and motivated to join teams that value data quality, inclusivity, and practical AI improvement. I bring dependable execution, attention to detail, and a commitment to improving AI performance in real-world contexts.